Unraveling the Taste Fabric of Social Networks Export

@article{citeulike:2916422, abstract = {Popular online social networks such as Friendster and MySpace do more than simply reveal the superficial structure of social connectedness — the rich meanings bottled within social network profiles themselves imply deeper patterns of culture and taste. If these latent semantic fabrics of taste could be harvested formally, the resultant resource would afford completely novel ways for representing and reasoning about web users and people in general. This paper narrates the theory and technique of such a feat — the natural language text of 100,000 social network profiles were captured, mapped into a diverse ontology of music, books, films, foods, etc., and machine learning was applied to infer a semantic fabric of taste. Taste fabrics bring us closer to improvisational manipulations of meaning, and afford us at least three semantic functions — the creation of semantically flexible user representations, cross-domain taste-based recommendation, and the computation of taste-similarity between people — whose use cases are demonstrated within the context of three applications — the InterestMap, Ambient Semantics, and IdentityMirror. Finally, we evaluate the quality of the taste fabrics, and distill from this research reusable methodologies and techniques of consequence to the semantic mining and Semantic Web communities.}, address = {Hershey,PA}, author = {Liu, H. and Maes, P. and Davenport, G.}, citeulike-article-id = {2916422}, citeulike-linkout-0 = {http://64.233.179.104/scholar?hl=ko&lr=&newwindow=1&client=firefox-a&q=cache:v6LJ1wSCBugJ:www.idea-group.com/articles/details.asp%3FID%3D5576+}, journal = {International Journal on Semantic Web and Information Systems}, keywords = {communication, culture, ethotic, implicit, profile, recommender, representation, semantic, semantics, sns, social, system, user-modeling}, number = {1}, pages = {42--71}, posted-at = {2008-06-23 07:37:48}, priority = {4}, publisher = {Idea Publishing Group}, title = {Unraveling the Taste Fabric of Social Networks}, url = {http://64.233.179.104/scholar?hl=ko&lr=&newwindow=1&client=firefox-a&q=cache:v6LJ1wSCBugJ:www.idea-group.com/articles/details.asp%3FID%3D5576+}, volume = {2}, year = {2006} }

TY - JOUR ID - citeulike:2916422 L3 - citeulike-article-id:2916422 N2 - Popular online social networks such as Friendster and MySpace do more than simply reveal the superficial structure of social connectedness — the rich meanings bottled within social network profiles themselves imply deeper patterns of culture and taste. If these latent semantic fabrics of taste could be harvested formally, the resultant resource would afford completely novel ways for representing and reasoning about web users and people in general. This paper narrates the theory and technique of such a feat — the natural language text of 100,000 social network profiles were captured, mapped into a diverse ontology of music, books, films, foods, etc., and machine learning was applied to infer a semantic fabric of taste. Taste fabrics bring us closer to improvisational manipulations of meaning, and afford us at least three semantic functions — the creation of semantically flexible user representations, cross-domain taste-based recommendation, and the computation of taste-similarity between people — whose use cases are demonstrated within the context of three applications — the InterestMap, Ambient Semantics, and IdentityMirror. Finally, we evaluate the quality of the taste fabrics, and distill from this research reusable methodologies and techniques of consequence to the semantic mining and Semantic Web communities. IS - 1 JF - International Journal on Semantic Web and Information Systems AD - Hershey,PA EP - 71 TI - Unraveling the Taste Fabric of Social Networks PB - Idea Publishing Group VL - 2 SP - 42 KW - communication KW - culture KW - ethotic KW - implicit KW - profile KW - recommender KW - representation KW - semantic KW - semantics KW - sns KW - social KW - system KW - user-modeling AU - Liu, H AU - Maes, P AU - Davenport, G PY - 2006/// UR - http://64.233.179.104/scholar?hl=ko&lr=&newwindow=1&client=firefox-a&q=cache:v6LJ1wSCBugJ:www.idea-group.com/articles/details.asp%3FID%3D5576+ ER -